LightCNN [1]} is an implementation of CNN for face recognition designed to have fewer trainable parameters than a vanilla CNN and to handle noisy labels. This network introduces a new concept of max-out activation in each convolutional layer for feature filter selection. We use the pretrained network with 29-layers to obtain embeddings of 256-dimension from face images.
